Community Perception Survey 2024

Analysis Plan

#> no calculated indicators has been defined...

Automatic Exploration

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Group

Enumerator Name plot_text(datalist, dico, "group_sg8tr67.enumerator_name", datasource=params$datasource)

Organization plot_text(datalist, dico, "group_sg8tr67.organization", datasource=params$datasource)

Do you agree to participate in this survey? plot_select_one(datalist, dico, "group_sg8tr67.consent", datasource = params$datasource, n = 5)

Do you agree to participate in this survey? plot_select_one_cross(datalist, dico, var="group_sg8tr67.consent", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

——

Group

What is your age group? plot_select_one(datalist, dico, "group_xt46l40.age_group", datasource = params$datasource, n = 5)

What is your age group? plot_select_one_cross(datalist, dico, var="group_xt46l40.age_group", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What is your gender? plot_select_one(datalist, dico, "group_xt46l40.gender", datasource = params$datasource, n = 5)

What is your gender? plot_select_one_cross(datalist, dico, var="group_xt46l40.gender", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

No significant text for the question:

group_xt46l40.If_Other_Please_specifyNULL

What is your marital status? plot_select_one(datalist, dico, "group_xt46l40.marital_status", datasource = params$datasource, n = 5)

What is your marital status? plot_select_one_cross(datalist, dico, var="group_xt46l40.marital_status", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What is your highest level of education? plot_select_one(datalist, dico, "group_xt46l40.education_level", datasource = params$datasource, n = 5)

What is your highest level of education? plot_select_one_cross(datalist, dico, var="group_xt46l40.education_level", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Household Composition: plot_select_one(datalist, dico, "group_xt46l40.household_composition", datasource = params$datasource, n = 5)

Household Composition: plot_select_one_cross(datalist, dico, var="group_xt46l40.household_composition", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If Other ? Pleas specify. plot_text(datalist, dico, "group_xt46l40.HH_Composition_Other", datasource=params$datasource)

What clan do you belong to? plot_select_one(datalist, dico, "group_xt46l40.clan", datasource = params$datasource, n = 5)

What clan do you belong to? plot_select_one_cross(datalist, dico, var="group_xt46l40.clan", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If Other ? Please specify.. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_001", datasource=params$datasource)

6. In which region does the household reside? plot_select_one(datalist, dico, "group_xt46l40.region", datasource = params$datasource, n = 5)

NULL

7. In which district does the household reside? plot_select_one(datalist, dico, "group_xt46l40.district", datasource = params$datasource, n = 5)

7. In which district does the household reside? plot_select_one_cross(datalist, dico, var="group_xt46l40.district", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Who are the individuals/groups in your community that are most vulnerable plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups", datasource=params$datasource, n=5)

Who are the individuals/groups in your community that are most vulnerable plot_select_multiple_cross(datalist, dico, var="group_xt46l40.vulnerable_groups", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

No significant text for the question:

group_xt46l40.If_Others_Please_specifyNULL Select all that apply (Women at Risk) plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_war", datasource=params$datasource, n=5)

Select all that apply (Women at Risk) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.vulnerable_groups_war", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others ? Please specify (For Women at Risk - Other) plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other", datasource=params$datasource)

Select all that apply (Child at Risk) plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_car", datasource=params$datasource, n=5)

Select all that apply (Child at Risk) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.vulnerable_groups_car", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others ? Please specify (For Child at Risk - Other) plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_hild_at_Risk_Other", datasource=params$datasource)

Iindividuals/groups in community at risk of excluded from assistance plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups", datasource=params$datasource, n=5)

Iindividuals/groups in community at risk of excluded from assistance plot_select_multiple_cross(datalist, dico, var="group_xt46l40.at_risk_groups", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others? Please specify plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_001", datasource=params$datasource)

Select all that apply (Women at Risk) plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_war", datasource=params$datasource, n=5)

Select all that apply (Women at Risk) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.at_risk_groups_war", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others ? Please specify (For Women at Risk - Other) plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other_001", datasource=params$datasource)

Select all that apply (Child at Risk) plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_car", datasource=params$datasource, n=5)

Select all that apply (Child at Risk) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.at_risk_groups_car", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

No significant text for the question:

group_xt46l40.If_Others_Please_s_hild_at_Risk_Other_001NULL

Have these at-risk individuals/groups received adequate humanitarian assistance plot_select_one(datalist, dico, "group_xt46l40.adequate_assistance", datasource = params$datasource, n = 5)

Have these at-risk individuals/groups received adequate humanitarian assistance plot_select_one_cross(datalist, dico, var="group_xt46l40.adequate_assistance", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What kind of support have they received from the humanitarian partners plot_select_multiple(datalist, dico, "group_xt46l40.assistance_received", datasource=params$datasource, n=5)

What kind of support have they received from the humanitarian partners plot_select_multiple_cross(datalist, dico, var="group_xt46l40.assistance_received", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

Use CE, gate keepers, community elders, religious elders in providing assitance plot_select_one(datalist, dico, "group_xt46l40.community_leaders_assistance", datasource = params$datasource, n = 5)

Use CE, gate keepers, community elders, religious elders in providing assitance plot_select_one_cross(datalist, dico, var="group_xt46l40.community_leaders_assistance", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Challenges receiving HA from the community leaders, gate keepers, CE, CA plot_select_multiple(datalist, dico, "group_xt46l40.challenges", datasource=params$datasource, n=5)

Challenges receiving HA from the community leaders, gate keepers, CE, CA plot_select_multiple_cross(datalist, dico, var="group_xt46l40.challenges", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Other ? Please specify. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_002", datasource=params$datasource)

You selected - Abuse and exploitation, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Abuse_and_exploit", datasource=params$datasource, n=5)

You selected - Abuse and exploitation, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_Abuse_and_exploit", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Abuse and exploitation) plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation", datasource=params$datasource)

You selected - Aid Diversion, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Aid_Diversion", datasource=params$datasource, n=5)

You selected - Aid Diversion, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_Aid_Diversion", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Aid Diversion) plot_text(datalist, dico, "group_xt46l40.If_Others_Aid_Diversion", datasource=params$datasource)

You selected - Corruption, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_corruption", datasource=params$datasource, n=5)

You selected - Corruption, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_corruption", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Corruption) plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation_001", datasource=params$datasource)

You selected - Discrimination, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_discrimination", datasource=params$datasource, n=5)

You selected - Discrimination, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_discrimination", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

No significant text for the question:

group_xt46l40.If_Others_DiscriminationNULL You selected - Harassment and intimidation, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_harassment_intimidation", datasource=params$datasource, n=5)

You selected - Harassment and intimidation, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_harassment_intimidation", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Harassmenta and Intimidation) plot_text(datalist, dico, "group_xt46l40.If_Others_harassment_intimidation", datasource=params$datasource)

You selected - Lack of information, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_lack_of_information", datasource=params$datasource, n=5)

You selected - Lack of information, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_lack_of_information", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Lack of information) plot_text(datalist, dico, "group_xt46l40.If_Others_lack_of_information", datasource=params$datasource)

You selected - Security concerns, who is committing the incidences? plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_security_concerns", datasource=params$datasource, n=5)

You selected - Security concerns, who is committing the incidences? plot_select_multiple_cross(datalist, dico, var="group_xt46l40.perpetrators_security_concerns", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others (Security concerns) plot_text(datalist, dico, "group_xt46l40.If_Others_security_concerns", datasource=params$datasource)

——

(group_xt46l40.How_effective_do_you_denial_of_assistance.How_effective_do_you_denial_of_assistance)

The variable from the form called: group_xt46l40.How_effective_do_you_denial_of_assistance.How_effective_do_you_denial_of_assistance_header could not be identified in the dataset

NULL The variable from the form called: group_xt46l40.How_effective_do_you_denial_of_assistance.How_effective_do_you_denial_of_assistance_header or group_xt46l40.region could not be identified in the dataset

NULL

Prioritizing at risk of exclusion from assistance, such as the minority groups plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.a_Prioritizing_thos_the_minority_groups", datasource = params$datasource, n = 5)

Prioritizing at risk of exclusion from assistance, such as the minority groups plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.a_Prioritizing_thos_the_minority_groups", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

b. Beneficiary selection based on their vulnerability. plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.b_Beneficiary_selec_their_vulnerability", datasource = params$datasource, n = 5)

b. Beneficiary selection based on their vulnerability. plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.b_Beneficiary_selec_their_vulnerability", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Training on protection, inclusivity and equality. plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.c_Targeting_gatekee_usivity_and_equality", datasource = params$datasource, n = 5)

Training on protection, inclusivity and equality. plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.c_Targeting_gatekee_usivity_and_equality", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

d. Reporting mechanism on cases of exclusion, aid diversion, corruption, fraud plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.d_Reporting_mechani_n_corruption_fraud", datasource = params$datasource, n = 5)

d. Reporting mechanism on cases of exclusion, aid diversion, corruption, fraud plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.d_Reporting_mechani_n_corruption_fraud", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Reporting mechanism on cases of harassment, intimidation, abuse, exploi& abuse plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.e_Reporting_mechani_tion_and_corruption", datasource = params$datasource, n = 5)

Reporting mechanism on cases of harassment, intimidation, abuse, exploi& abuse plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.e_Reporting_mechani_tion_and_corruption", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

f. Partners/Organizations  field presence that engages the community directly plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.f_Partners_Organiza_e_community_directly", datasource = params$datasource, n = 5)

f. Partners/Organizations  field presence that engages the community directly plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.f_Partners_Organiza_e_community_directly", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Direct channels of communication with the community on beneficiary entitlement plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.g_Partners_Organiza_ciary_entitlement_on", datasource = params$datasource, n = 5)

Direct channels of communication with the community on beneficiary entitlement plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.g_Partners_Organiza_ciary_entitlement_on", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

h. Working with community structures such as community committees or community  plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.h_Working_with_comm_mittees_or_community", datasource = params$datasource, n = 5)

h. Working with community structures such as community committees or community  plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.h_Working_with_comm_mittees_or_community", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Sharing key messages reporting abuse and exploitation. plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.i_Partners_Organiza_use_and_exploitation", datasource = params$datasource, n = 5)

Sharing key messages reporting abuse and exploitation. plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.i_Partners_Organiza_use_and_exploitation", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Sharing key messages on inclusion, fraud, aid diversion, corruption. plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.j_Partners_Organiza_iversion_corruption", datasource = params$datasource, n = 5)

Sharing key messages on inclusion, fraud, aid diversion, corruption. plot_select_one_cross(datalist, dico, var="group_xt46l40.How_effective_do_you_denial_of_assistance.j_Partners_Organiza_iversion_corruption", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If you answered either of the above, state your overall reasons why? plot_text(datalist, dico, "group_xt46l40.reasons_for_effectiveness", datasource=params$datasource)

Ensure the affected population are not excluded or denied assistance plot_text(datalist, dico, "group_xt46l40.recommendations_engagement", datasource=params$datasource)

Engagement with you/community prior on program dev. or distribution design plot_select_one(datalist, dico, "group_xt46l40.engagement_frequency", datasource = params$datasource, n = 5)

Engagement with you/community prior on program dev. or distribution design plot_select_one_cross(datalist, dico, var="group_xt46l40.engagement_frequency", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Believe partners/organizations program or distribution beneficiaries fairly plot_select_one(datalist, dico, "group_xt46l40.fairness_selection", datasource = params$datasource, n = 5)

Believe partners/organizations program or distribution beneficiaries fairly plot_select_one_cross(datalist, dico, var="group_xt46l40.fairness_selection", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Receive the expected package/resources from partners/organizations? plot_select_one(datalist, dico, "group_xt46l40.assistance_received_001", datasource = params$datasource, n = 5)

Receive the expected package/resources from partners/organizations? plot_select_one_cross(datalist, dico, var="group_xt46l40.assistance_received_001", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Know where to lodge a complaint or provide feedback to a humanitarian actor? plot_select_one(datalist, dico, "group_xt46l40.complaint_lodging", datasource = params$datasource, n = 5)

Know where to lodge a complaint or provide feedback to a humanitarian actor? plot_select_one_cross(datalist, dico, var="group_xt46l40.complaint_lodging", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What do you do as a community to assist those excluded or denied assistance? plot_text(datalist, dico, "group_xt46l40.community_assistance", datasource=params$datasource)

Most significant risks faced by displaced individuals/groups in your community plot_select_multiple(datalist, dico, "group_xt46l40.displacement_risks", datasource=params$datasource, n=5)

Most significant risks faced by displaced individuals/groups in your community plot_select_multiple_cross(datalist, dico, var="group_xt46l40.displacement_risks", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others. Please specify. plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_002", datasource=params$datasource)

Give the reasons for the selected protection risks? plot_text(datalist, dico, "group_xt46l40.reasons_for_risks", datasource=params$datasource)

Positive Coping Mechanism plot_text(datalist, dico, "group_xt46l40.positive_coping", datasource=params$datasource)

Negative Coping Mechnism plot_text(datalist, dico, "group_xt46l40.negative_coping", datasource=params$datasource)

Type of platforms accessible plot_select_multiple(datalist, dico, "group_xt46l40.info_platforms", datasource=params$datasource, n=5)

Type of platforms accessible plot_select_multiple_cross(datalist, dico, var="group_xt46l40.info_platforms", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Others ? Please specify. plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_003", datasource=params$datasource)

Are there any programs in place to address negative coping mechanisms plot_select_one(datalist, dico, "group_xt46l40.negative_coping_programs", datasource = params$datasource, n = 5)

Are there any programs in place to address negative coping mechanisms plot_select_one_cross(datalist, dico, var="group_xt46l40.negative_coping_programs", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If yes, what programs? plot_text(datalist, dico, "group_xt46l40.types_of_programs", datasource=params$datasource)

If yes, how effective are these programs? plot_select_one(datalist, dico, "group_xt46l40.effectiveness_programs", datasource = params$datasource, n = 5)

If yes, how effective are these programs? plot_select_one_cross(datalist, dico, var="group_xt46l40.effectiveness_programs", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Which protection integrated programme is serving your community plot_select_multiple(datalist, dico, "group_xt46l40.protection_integrated_programs", datasource=params$datasource, n=5)

Which protection integrated programme is serving your community plot_select_multiple_cross(datalist, dico, var="group_xt46l40.protection_integrated_programs", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

Community experienced armed conflict in the last 6 months plot_select_one(datalist, dico, "group_xt46l40.armed_conflict", datasource = params$datasource, n = 5)

Community experienced armed conflict in the last 6 months plot_select_one_cross(datalist, dico, var="group_xt46l40.armed_conflict", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If yes, what type of armed conflict was it? (Select all that apply) plot_select_multiple(datalist, dico, "group_xt46l40.conflict_types", datasource=params$datasource, n=5)

If yes, what type of armed conflict was it? (Select all that apply) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.conflict_types", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Other ? Please specify plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_003", datasource=params$datasource)

Were there any civilian casualties during the conflict? (Select all that apply) plot_select_multiple(datalist, dico, "group_xt46l40.civilian_casualties", datasource=params$datasource, n=5)

Were there any civilian casualties during the conflict? (Select all that apply) plot_select_multiple_cross(datalist, dico, var="group_xt46l40.civilian_casualties", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Other ? Please specify. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_004", datasource=params$datasource)

What was the effect of the conflict on affected civilians? (Select one) plot_select_one(datalist, dico, "group_xt46l40.conflict_effect", datasource = params$datasource, n = 5)

What was the effect of the conflict on affected civilians? (Select one) plot_select_one_cross(datalist, dico, var="group_xt46l40.conflict_effect", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Civilian objects/properties impacted by the conflict plot_select_multiple(datalist, dico, "group_xt46l40.civilian_objects", datasource=params$datasource, n=5)

Civilian objects/properties impacted by the conflict plot_select_multiple_cross(datalist, dico, var="group_xt46l40.civilian_objects", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Other ? Please specify.. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_005", datasource=params$datasource)

For Other ?? Please specify. plot_select_one(datalist, dico, "group_xt46l40.For_Other_Please_specify", datasource = params$datasource, n = 5)

For Other ?? Please specify. plot_select_one_cross(datalist, dico, var="group_xt46l40.For_Other_Please_specify", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Civilian homes) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ject_Civilian_homes", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Civilian homes) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_ject_Civilian_homes", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Population settlement) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_opulation_settlement", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Population settlement) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_opulation_settlement", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What are the consequencees of the attacked on the civilian object (Hospital) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_Hospital", datasource = params$datasource, n = 5)

What are the consequencees of the attacked on the civilian object (Hospital) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_ian_object_Hospital", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What are the consequencees of the attacked on the civilian object (School) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ilian_object_School", datasource = params$datasource, n = 5)

What are the consequencees of the attacked on the civilian object (School) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_ilian_object_School", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What are the consequencees of the attacked on the civilian object (IDP Camp) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_IDP_Camp", datasource = params$datasource, n = 5)

What are the consequencees of the attacked on the civilian object (IDP Camp) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_ian_object_IDP_Camp", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Aid distribution centers) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_distribution_centers", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Aid distribution centers) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_distribution_centers", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Reception center) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ct_Reception_center", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Reception center) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_ct_Reception_center", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Religious Facility) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_Religious_Facility", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Religious Facility) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_Religious_Facility", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Consequencees of the attacked on the civilian object (Water facility/boreholes) plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_r_facility_boreholes", datasource = params$datasource, n = 5)

Consequencees of the attacked on the civilian object (Water facility/boreholes) plot_select_one_cross(datalist, dico, var="group_xt46l40.What_are_the_consequ_r_facility_boreholes", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Were the people in need able to access the partners/organizations? (Select one) plot_select_one(datalist, dico, "group_xt46l40.access", datasource = params$datasource, n = 5)

Were the people in need able to access the partners/organizations? (Select one) plot_select_one_cross(datalist, dico, var="group_xt46l40.access", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

What do you do as a community, to protect yourself during armed conflict? plot_text(datalist, dico, "group_xt46l40.community_protection", datasource=params$datasource)

Has the presence of ATMIS FOB impacted your life in any way plot_select_one(datalist, dico, "group_xt46l40.atm_presence", datasource = params$datasource, n = 5)

Has the presence of ATMIS FOB impacted your life in any way plot_select_one_cross(datalist, dico, var="group_xt46l40.atm_presence", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If Yes ? Select all that apply. plot_select_multiple(datalist, dico, "group_xt46l40.If_Yes_Select_all_that_apply", datasource=params$datasource, n=5)

If Yes ? Select all that apply. plot_select_multiple_cross(datalist, dico, var="group_xt46l40.If_Yes_Select_all_that_apply", by_var="group_xt46l40.region", datasource=params$datasource, n=5, n_by=5 )

If Other ? Please specify.. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_006", datasource=params$datasource)

Concerns on the closure of ATMIS Forward Operating Bases (FOBs) in your area plot_select_one(datalist, dico, "group_xt46l40.atm_closure", datasource = params$datasource, n = 5)

Concerns on the closure of ATMIS Forward Operating Bases (FOBs) in your area plot_select_one_cross(datalist, dico, var="group_xt46l40.atm_closure", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

If Other ? Please specify.. plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_007", datasource=params$datasource)

Give reasons for Yes or No. plot_text(datalist, dico, "group_xt46l40.closure_reasons", datasource=params$datasource)

Efforts of the hum community in addressing protection risks in your area plot_select_one(datalist, dico, "group_xt46l40.perception", datasource = params$datasource, n = 5)

Efforts of the hum community in addressing protection risks in your area plot_select_one_cross(datalist, dico, var="group_xt46l40.perception", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

Recommendations for improving humanitarian assistance and protection plot_text(datalist, dico, "group_xt46l40.recommendations_improvement", datasource=params$datasource)

would you like to receive an update? plot_select_one(datalist, dico, "group_xt46l40.update", datasource = params$datasource, n = 5)

would you like to receive an update? plot_select_one_cross(datalist, dico, var="group_xt46l40.update", by_var="group_xt46l40.region",datasource=params$datasource, n=5,n_by=5 )

No significant text for the question:

group_xt46l40.phone_numberNULL

Summary Likert Charts

2 groups of likert questions in the formplot_likert(datalist, dico, scopei="group_xt46l40", list_namei="fh0oh18", repeatvari="main",datasource=params$datasource)

plot_likert(datalist, dico, scopei="group_xt46l40.How_effective_do_you_denial_of_assistance", list_namei="hb8kc42", repeatvari="main",datasource=params$datasource)

Annex: Crunching step

This data crunching report allows to quickly explore the results of the survey published in RIDL. It can be regenerated as needed based on the analysis plan you did set up. The objective of this report is to allow to quickly identify potential patterns in your dataset. A quick screening of this initial report should allow to select the most meaningful graphs.

The crunching process produces a lot of visuals. Therefore it is key to carefully select the most relevant visual that will be presented for potential interpretation in the next step. To do so, you simply copy-paste the short syntax in a second notebook to generate as powerpoint presentation. A typical data interpretation session shall not last more than 2hours and include more than 60 visuals to look at in order to keep participants with a good focus level.

In order to guide this selection phase, data experts, in collaboration with the data analysis group, can use the following elements:

• For numeric value, check the frequency distributions of each variable to average, deviation, including outlier and oddities

• For categorical variables, check for unexpected values: any weird results based on common sense expectations

• Use correlation analysis to check for potential contradictions in respondents answers to different questions for identified associations (chi-square)

• Always, Check for missing data (NA) or “%of respondent who answered” that you cannot confidently explain

• Check unanswered questions, that corresponds to unused skip logic in the questionnaire: For instance, did a person who was never displaced answer displacement-related questions? Were employment-related answers provided for a toddler?

When analyzing those representations in a collective setting during data interpretation sessions, you may:

1. Reflect: question data quality and/or make suggestions to adjust questions, identify additional cleaning steps;

2. Interpret: develop qualitative interpretations of data patterns;

3. Recommend: suggest recommendations in terms of programmatic adjustment;

4. Classify: define level of sensitivity for certain topics if required;

The report can be regenerated as needed by:

• adjusting the report configuration in the xlsform to break it into report and chapter;

• configuring disaggregation & correlation for each question;

• revising the data cleansing based on the cleaning log;

• appending calculated indicators to your data frame to reshape variable - also called feature engineering.